2018
DOI: 10.1016/j.socscimed.2018.08.032
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An experimental investigation into the transmission of antivax attitudes using a fictional health controversy

Abstract: The results suggest that vaccination campaigns may be made more effective by including personal experiences of the negative consequences of non-vaccination.

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Cited by 27 publications
(35 citation statements)
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“…Like Connolly and Reb [27], then, we are sceptical of the existence of omission bias as applied to vaccination, especially in light of the results of a recent study [20]. This study use a different experimental procedure, the method of serial reproduction [51,52], and similarly found no support for the omission bias.…”
Section: Discussionmentioning
confidence: 92%
See 2 more Smart Citations
“…Like Connolly and Reb [27], then, we are sceptical of the existence of omission bias as applied to vaccination, especially in light of the results of a recent study [20]. This study use a different experimental procedure, the method of serial reproduction [51,52], and similarly found no support for the omission bias.…”
Section: Discussionmentioning
confidence: 92%
“…that make them especially "sticky" in human minds [60]. Importantly, the same characteristics of these messages might also be used to promote vaccination [20,61], providing a more optimistic prospect for countering anti-vaccination information.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The 'knowledge' is transmitted along linear chains of confederates; researchers find that experience-based views held by a parent (including the benefits of vaccines) is far better transmitted than the medical-based view held by the doctor. The narrative and the source influences vaccine uptake [58]; trying to counteract vaccine hesitancy (let alone unbridled anti-vaccine pseudoscience) with authoritarian narratives does not move the needle (literally and figuratively) [59,60].…”
Section: Narrative Medicine At Largementioning
confidence: 99%
“…All statistical analyses were conducted with Bayesian package brms (Bürkner, 2017) in R 3.5.3 (R Core Team, 2019). As in our previous transmission chain experiments (Jiménez & Mesoudi, 2019, Preprint;Jiménez, Stubbersfield, & Tehrani, 2018), all the regression models were multilevel with intercepts varying by chain. We treated generation as a monotonic variable (Bürkner & Charpentier, 2018) as recall decreases over generations but the amount of the decrease varies between adjacent generations (Jiménez & Mesoudi, 2019, July 10).…”
Section: 5-coding and Data Analysesmentioning
confidence: 99%